Sorry, we do not have enough data to show an influence graph for this author.
- Full text PDF available (0)
Journals and Conferences
A novel clustering-based blind channel equalizer suitable for both linear and nonlinear channels is proposed. The clusters formed by the received data are identified using a new class of unsupervised clustering algorithms known as K-Harmonic Means (KHMp). The KHMp algorithms are insensitive to the initialization of the cluster centers owing to a built-in… (More)